Index

_

__init__() (replay.experiment.Experiment method) (replay.metrics.Coverage method) (replay.metrics.Surprisal method) (replay.metrics.Unexpectedness method) (replay.models.ADMMSLIM method) (replay.models.ALSWrap method) (replay.models.AssociationRulesItemRec method) (replay.models.ClusterRec method) (replay.models.ImplicitWrap method) (replay.models.KNN method) (replay.models.LightFMWrap method) (replay.models.MultVAE method) (replay.models.NeuroMF method) (replay.models.RandomRec method) (replay.models.SLIM method) (replay.models.Word2VecRec method) (replay.scenarios.Fallback method) (replay.scenarios.TwoStagesScenario method) (replay.splitters.log_splitter.ColdUserRandomSplitter method) (replay.splitters.log_splitter.DateSplitter method) (replay.splitters.log_splitter.NewUsersSplitter method) (replay.splitters.log_splitter.RandomSplitter method) (replay.splitters.user_log_splitter.UserSplitter method)

_get_metric_value_by_user() (replay.metrics.base_metric.Metric static method)

A

add_result() (replay.experiment.Experiment method) ADMMSLIM (class in replay.models)

ALSWrap (class in replay.models) AssociationRulesItemRec (class in replay.models)

B

back() (replay.data_preparator.DataPreparator method)

C

ClusterRec (class in replay.models) ColdUserRandomSplitter (class in replay.splitters.log_splitter)

compare() (replay.experiment.Experiment method) Coverage (class in replay.metrics)

D

DataPreparator (class in replay.data_preparator)

DateSplitter (class in replay.splitters.log_splitter)

E

Experiment (class in replay.experiment)

F

Fallback (class in replay.scenarios) filter_between_dates() (in module replay.filters) filter_by_duration() (in module replay.filters) filter_by_user_duration() (in module replay.filters)

filter_user_interactions() (in module replay.filters) fit() (replay.data_preparator.Indexer method) (replay.models.Recommender method) (replay.scenarios.TwoStagesScenario method) fit_predict() (replay.models.Recommender method)

G

get_enriched_recommendations() (in module replay.metrics.base_metric) get_features() (replay.models.Recommender method)

get_item_recency() (in module replay.time) get_nearest_items() (replay.models.AssociationRulesItemRec method) get_spark_session() (in module replay.session_handler)

H

HitRate (class in replay.metrics)

I

ImplicitWrap (class in replay.models) Indexer (class in replay.data_preparator)

inverse_transform() (replay.data_preparator.Indexer method) item_distribution() (in module replay.distributions)

K

k_folds() (in module replay.splitters.user_log_splitter)

KNN (class in replay.models)

L

LightFMWrap (class in replay.models)

load() (in module replay.model_handler)

M

MAP (class in replay.metrics) Metric (class in replay.metrics.base_metric) min_entries() (in module replay.filters) min_rating() (in module replay.filters) module replay.filters replay.metrics replay.models replay.scenarios replay.splitters

MRR (class in replay.metrics) MultVAE (class in replay.models)

N

NDCG (class in replay.metrics)

NeuroMF (class in replay.models) NewUsersSplitter (class in replay.splitters.log_splitter)

O

optimize() (in module replay.models.base_rec.BaseRecommender) (replay.scenarios.Fallback method) (replay.scenarios.TwoStagesScenario method)

P

plot_item_dist() (in module replay.distributions) plot_user_dist() (in module replay.distributions) PopRec (class in replay.models)

Precision (class in replay.metrics) predict() (replay.models.Recommender method) (replay.scenarios.TwoStagesScenario method) predict_pairs() (replay.models.Recommender method)

R

RandomRec (class in replay.models) RandomSplitter (class in replay.splitters.log_splitter) Recall (class in replay.metrics) Recommender (class in replay.models) RecOnlyMetric (class in replay.metrics.base_metric) replay.filters module replay.metrics module

replay.models module replay.scenarios module replay.splitters module RocAuc (class in replay.metrics)

S

save() (in module replay.model_handler) SLIM (class in replay.models) smoothe_time() (in module replay.time)

split() (in module replay.splitters.base_splitter.Splitter) State (class in replay.session_handler) Surprisal (class in replay.metrics)

T

transform() (replay.data_preparator.Indexer method)

TwoStagesScenario (class in replay.scenarios)

U

Unexpectedness (class in replay.metrics) user_distribution() (replay.metrics.base_metric.Metric method)

UserPopRec (class in replay.models) UserSplitter (class in replay.splitters.user_log_splitter)

W

Wilson (class in replay.models)

Word2VecRec (class in replay.models)